663 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs in Germany
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sciences You are organized, reliable, and proactive You are a good communicator and enjoy teamwork You are comfortable working in English ((at least B2 level according to the CEFR: https://go.fzj.de
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comparable, relevant field of study Understanding of the fundamental concepts and techniques of Artificial Intelligence (AI) and Machine Learning (ML) Knowledge in specific AI application areas such as Natural
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of geothermal energy systems, the storage of energy sources and technologies to couple the energy sectors of heat, electricity and transportation. Machine learning and deep learning methods are increasingly
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months. The candidate will mainly work for the Kiel Institute’s high profile “Ukraine Support Tracker” project, which measures military, financial and humanitarian aid to Ukraine since Russia’s full-scale
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following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs
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their thesis under our supervision. This project builds upon our prior work in Multi Agent Reinforcement Learning (MARL) for real-world use-case of aerial ad hoc networks (see our paper ) and aims to advance
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machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Newton`s method. In
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employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail personalabteilung@dkfz.de Website https://jobs.dkfz.de/en/jobs
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mechanisms of learning, memory formation, perception, and behavior. Researchers with a proven track record in neuroengineering and related fields — including neuro-inspired hardware, brain-machine interfaces
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and